Python 2 7 8
Author: f | 2025-04-25
How is Python 2 supported in RHEL after 2025?. no new features will be added to Python 2 in RHEL 7 and earlier. RHEL 8: Python 2.7 AppStream supported until June 2025.
RHEL 8 install Python 3 or Python 2 using
Similar videos 4:43 how to install python on linux mint | and install python 3.9.5 & pip 3 ubuntu 7:33 how to install the latest python version on linux mint, debian and ubuntu 6:21 how to install python3 (3.9) & pip on ubuntu (and other linux versions) 5:18 how to install python on linux | install python ubuntu, linux mint 64b | install python3.8.5 version 12:06 you must watch this before installing python. please don't make this mistake. 26:32 linux for beginners 10:50 60 linux commands you need to know (in 10 minutes) 2:15 how to install python3 8 on ubuntu 18 0:10 ram usage on windows compared to linux 5:30 how to install python on linux mint, ubuntu, other linux distributions 2:37 installing python 3 in ubuntu 22.04 lts / linux mint 0:16 how to check installed python library #ytshorts #trending #python #shortsfeed #shorts #viralvideo 9:20 how to install python 3.4.2 on ubuntu 14.04,16.04 debian 8 & linux mint 17.2 4:42 install python 3 on ubuntu, raspberry pi and debian | python for beginners 3:36 installing python 3.9.0 on any ubuntu/debian based distro 13:23 installing python on linux - the easy way! (pyenv) 1:03 how to install python 3.6.0 on ubuntu and linuxmint 5:11 how to install python 3.8 in linux mint 7:31 how to install python 3 in windows mac osx, linux and ubuntu os - python tutorial by mahesh huddar 2:26 install python3 on linux in 3 minutes (ubuntu,mint,debian,etc). How is Python 2 supported in RHEL after 2025?. no new features will be added to Python 2 in RHEL 7 and earlier. RHEL 8: Python 2.7 AppStream supported until June 2025. WinPython is a free open-source portable distribution of the Python programming language for Windows XP/7/8, designed for scientists, supporting both 32bit and 64bit versions of Python 2 and Python 3. WinPython is a free open-source portable distribution of the Python programming language for Windows XP/7/8, designed for scientists, supporting both 32bit and 64bit versions of Python 2 and Python 3. Portable Scientific Python 2/3 32/64bit Distribution for Windows. WinPython is a free open-source portable distribution of the Python programming language for Windows XP/7/8, designed for scientists, supporting both 32bit and 64bit versions of Python 2 and Python 3. Portable Scientific Python 2/3 32/64bit Distribution for Windows. WinPython is a free open-source portable distribution of the Python programming language for Windows XP/7/8, designed for scientists, supporting both 32bit and 64bit versions of Python 2 and Python 3. Keepvid pro 7 2 0 2. Firetask 3 8 5 Download Link. Release Date: . This is the third maintenance release of Python 3.8. The Python 3.8 series is the newest major release of the Presentation on theme: "Python Crash Course Numpy"— Presentation transcript: 1 Python Crash Course Numpy 2 Extra features required:Scientific Python? Extra features required: fast, multidimensional arrays libraries of reliable, tested scientific functions plotting tools NumPy is at the core of nearly every scientific Python application or module since it provides a fast N-d array datatype that can be manipulated in a vectorized form. 2 3 What is NumPy? NumPy is the fundamental package needed for scientific computing with Python. It contains: a powerful N-dimensional array object basic linear algebra functions basic Fourier transforms sophisticated random number capabilities tools for integrating Fortran code tools for integrating C/C++ code 4 Official documentation The NumPy book Example listNumPy documentation Official documentation The NumPy book Example list 5 Arrays – Numerical Python (Numpy)Lists ok for storing small amounts of one-dimensional data >>> a = [1,3,5,7,9] >>> print(a[2:4]) [5, 7] >>> b = [[1, 3, 5, 7, 9], [2, 4, 6, 8, 10]] >>> print(b[0]) [1, 3, 5, 7, 9] >>> print(b[1][2:4]) [6, 8] >>> a = [1,3,5,7,9] >>> b = [3,5,6,7,9] >>> c = a + b >>> print c [1, 3, 5, 7, 9, 3, 5, 6, 7, 9] But, can’t use directly with arithmetical operators (+, -, *, /, …) Need efficient arrays with arithmetic and better multidimensional tools Numpy Similar to lists, but much more capable, except fixed size >>> import numpy 6 Numpy – N-dimensional Array manpulationsThe fundamental library needed for scientific computing with Python is called NumPy. This Open Source library contains: a powerful N-dimensional array object advanced array slicing methods (to select array elements) convenient array reshaping methods and it even contains 3 libraries with numerical routines: basic linear algebra functions basic Fourier transforms sophisticated random number capabilities NumPy can be extended with C-code for functions where performance isComments
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2025-04-13Presentation on theme: "Python Crash Course Numpy"— Presentation transcript: 1 Python Crash Course Numpy 2 Extra features required:Scientific Python? Extra features required: fast, multidimensional arrays libraries of reliable, tested scientific functions plotting tools NumPy is at the core of nearly every scientific Python application or module since it provides a fast N-d array datatype that can be manipulated in a vectorized form. 2 3 What is NumPy? NumPy is the fundamental package needed for scientific computing with Python. It contains: a powerful N-dimensional array object basic linear algebra functions basic Fourier transforms sophisticated random number capabilities tools for integrating Fortran code tools for integrating C/C++ code 4 Official documentation The NumPy book Example listNumPy documentation Official documentation The NumPy book Example list 5 Arrays – Numerical Python (Numpy)Lists ok for storing small amounts of one-dimensional data >>> a = [1,3,5,7,9] >>> print(a[2:4]) [5, 7] >>> b = [[1, 3, 5, 7, 9], [2, 4, 6, 8, 10]] >>> print(b[0]) [1, 3, 5, 7, 9] >>> print(b[1][2:4]) [6, 8] >>> a = [1,3,5,7,9] >>> b = [3,5,6,7,9] >>> c = a + b >>> print c [1, 3, 5, 7, 9, 3, 5, 6, 7, 9] But, can’t use directly with arithmetical operators (+, -, *, /, …) Need efficient arrays with arithmetic and better multidimensional tools Numpy Similar to lists, but much more capable, except fixed size >>> import numpy 6 Numpy – N-dimensional Array manpulationsThe fundamental library needed for scientific computing with Python is called NumPy. This Open Source library contains: a powerful N-dimensional array object advanced array slicing methods (to select array elements) convenient array reshaping methods and it even contains 3 libraries with numerical routines: basic linear algebra functions basic Fourier transforms sophisticated random number capabilities NumPy can be extended with C-code for functions where performance is
2025-04-15Copy an Object in PythonIn Python, we use = operator to create a copy of an object. You may think that this creates a new object; it doesn't. It only creates a new variable that shares the reference of the original object.Let's take an example where we create a list named old_list and pass an object reference to new_list using = operator.Example 1: Copy using = operatorold_list = [[1, 2, 3], [4, 5, 6], [7, 8, 'a']]new_list = old_listnew_list[2][2] = 9print('Old List:', old_list)print('ID of Old List:', id(old_list))print('New List:', new_list)print('ID of New List:', id(new_list))When we run above program, the output will be:Old List: [[1, 2, 3], [4, 5, 6], [7, 8, 9]]ID of Old List: 140673303268168New List: [[1, 2, 3], [4, 5, 6], [7, 8, 9]]ID of New List: 140673303268168As you can see from the output both variables old_list and new_list shares the same id i.e 140673303268168.So, if you want to modify any values in new_list or old_list, the change is visible in both.Essentially, sometimes you may want to have the original values unchanged and only modify the new values or vice versa. In Python, there are two ways to create copies: Shallow Copy Deep CopyTo make these copy work, we use the copy module.Copy ModuleWe use the copy module of Python for shallow and deep copy operations. Suppose, you need to copy the compound list say x. For example:import copycopy.copy(x)copy.deepcopy(x)Here, the copy() return a shallow copy of x. Similarly, deepcopy() return a deep copy of x.Shallow CopyA shallow copy creates a new object which stores the reference of the original elements.So, a shallow copy doesn't create a copy of nested objects, instead it just copies the reference of nested objects. This means, a copy process does not recurse or create copies of nested objects itself.Example 2: Create a copy using shallow copyimport copyold_list = [[1, 2, 3], [4, 5, 6], [7, 8, 9]]new_list = copy.copy(old_list)print("Old list:", old_list)print("New list:", new_list)When we run the program , the output will be:Old list: [[1, 2, 3], [4, 5, 6], [7, 8, 9]]New list: [[1, 2, 3], [4, 5, 6], [7, 8, 9]]In above program,
2025-04-17#cloudcomputing - 529 uses in the last 7 days Grow your instagram using the most popular cloudcomputing hashtags #cloudcomputing #cloud #technology #cybersecurity #aws #bigdata #datacenter #devops #cloudservices #tech #cloudstorage #it #azure #business #machinelearning #linux #itservices #software #cloudsecurity #data #programming #datascience #digitaltransformation #itsupport #iot #dataprotection #informationtechnology #networksecurity #microsoft #coding Second most liked instagram hashtags used with cloudcomputing #innovation #python #security #ai #itsolutions #artificialintelligence #networking #awscloud #cloudtechnology #server #telkom #cloudsolutions #network #developer #amazonwebservices #publiccloud #datasecurity #neucentrix #storage #googlecloud #serverroom #microsoftazure #analytics #itsecurity #java #devopsengineer #dataanalytics #webdevelopment #teknologi #kubernetes Use one of these sets of hashtags in your next instagram post and you'll see a big boost.Hashtag report Post using this hashtag: 276,162 Average likes per post: 13 Average comments per post: 0 Top 10 cloudcomputing hashtagsBest cloudcomputing hashtags popular on Instagram, Twitter, Facebook, TikTok: PRO hashtag data for #cloudcomputingProfessional data for instagram #cloudcomputing hashtagPopular hashtagsRelated hashtags to cloudcomputing that have the most posts we could find. Trending hashtags for #cloudcomputing. #cloudcomputing #training #business #cloud #technology #amazon #tech #networking #innovation #computer #internet #programming #coding #python #microsoft #security #developer #java #software #javascript #data # Hashtag Instagram Posts 1 #training 119,004,758 2 #business 84,771,400 3 #cloud 23,396,463 4 #technology 19,177,791 5 #amazon 14,826,605 6 #tech 14,603,053 7 #networking 10,428,282 8 #innovation 9,780,310 9 #computer 5,462,780 10 #internet 5,347,717 Medium difficulty hashtagsMedium sized hashtags #cloudcomputing #innovation #computer #internet #programming #coding #python #microsoft #security #developer #java #software #javascript #data #computerscience #iot #artificialintelligence #cybersecurity #linux #machinelearning # # Hashtag Instagram Posts 1 #innovation 9,780,310 2 #computer 5,462,780 3 #internet 5,347,717 4 #programming 4,504,356 5 #coding 4,003,263 6 #python 3,869,926 7 #microsoft 3,844,519 8 #security 3,842,306 9 #developer 3,721,239 10 #java 3,704,672 Easy difficulty hashtagsEasy size hashtags #cloudcomputing #datascience #bigdata #server #informationtechnology #azure #cisco #digitaltransformation #saas #cloudcomputing #devops #cybercrime #aws #dataprotection #informationsecurity #itsupport #datacenter #itservices #datasecurity #ccna #vmware # Hashtag Instagram Posts 1 #datascience 948,040 2 #bigdata 901,250 3 #server 704,208 4 #informationtechnology 627,028 5 #azure 581,762 6 #cisco 515,208 7 #digitaltransformation 512,748 8 #saas 287,786 9 #cloudcomputing 276,162 10 #devops 272,215 Always up to date - Our algorithm constantly updates the list of hashtags displayed to include new or trending hashtags.Last update was on 2024-10-15 16:51:15 View instagram photos and videos for #cloudcomputing x 7,739 x
2025-04-17Registriert Okt. 2017 Beiträge 125 11. Oktober 2022 #1 Moin, bei der Installation von VirtualBox 7.0.0 unter Windows 11 bekomme ich folgende Meldung:Fehlende Abhängigkeiten Python Core / win32api. Was ist zu tun, aktuelles Python-Paket für Windows herunterladen und installieren, oder einfach ohne Python installieren und abwarten, wie in einem englischsprachigen Forum empholen?Gruß Teuti Registriert Juni 2018 Beiträge 32.898 11. Oktober 2022 #2 In der Reihenfolge wie du es vorschlaegst klingt das schon gut Registriert Okt. 2015 Beiträge 10.008 11. Oktober 2022 #3 bei der vielzahl an problemberichten würde ich auf die ersten bugfix-releases warten und solange bei der 6.1.38 bleiben. Registriert Dez. 2008 Beiträge 20.115 11. Oktober 2022 #4 Läuft bei mir ohne Fehlermeldung zumindest ^^ Registriert Apr. 2010 Beiträge 3.910 11. Oktober 2022 #5 Wähle die neu dazugekommene Python-Erweiterung ab während der Installation ab.Die kannst du dann bei späteren Updates immernoch nachinstallieren, wenn benötigt. Registriert Jan. 2022 Beiträge 6 15. Oktober 2022 #6 Hallo zusammen,hatte auch die oben genannte Meldung bei der Installation.Die Version 7 läuft soweit, mit Win XP, Win Vista, Linux, Android.Nur Win 8 will nicht mehr. Da kommt nach einiger Zeit die Meldung: Abgebrochen. Big Boller Teuti Cadet 4th Year Ersteller dieses Themas Registriert Okt. 2017 Beiträge 125 15. Oktober 2022 #7 Moin, da für mich Windows 8 ebenfalls wichtig ist werde ich wohl, wie von @0x8100 vorgeschlagen, bei 6.1.38 bleiben. Schauen wir mal.Gruß Teuti Zuletzt bearbeitet: 15. Oktober 2022 Registriert Jan. 2022 Beiträge 6 23. Oktober 2022 #8 Hallo zusammen,bei mir läuft mitlerweile die Version 7.0.2 der Virtual-Box.Eine Übernahme der installierten Version von Windows 8 von VirtualBox 6.x nach 7.0.2 funktioniert noch immer nicht. Jedoch funktioniert nun eine frisch installierte Version von Windows 8 auf VirtualBox 7.0.2 mfGBig Boller
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